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Internship Ai Infrastructure Engineer Jobs in Virginia

Deloitte

Azure/Databricks Infrastructure Engineer

Mclean, VA · On-site

$56.25 - $75.25/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

Doist

Infrastructure Engineer II

Richmond, VA · On-site

$120 - $150/hr

Our AI platform, 1Exiger , delivers instant visibility into complex supplier ecosystems, leveraging ... We are seeking a self-driven Platform Engineer II to maintain and improve our cloud infrastructure ...

New

Doist

Infrastructure Engineer II

Mclean, VA · On-site

$120 - $150/hr

Our AI platform, 1Exiger , delivers instant visibility into complex supplier ecosystems, leveraging ... We are seeking a self-driven Platform Engineer II to maintain and improve our cloud infrastructure ...

New

Slope

Infrastructure Engineer, Kubernetes

Reston, VA · On-site

$166 - $220/hr

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... ABOUT THE JOB As an Infrastructure Engineer, you will own and advance our Kubernetes container ...

New

Centuria

Converged Infrastructure Engineer

Norfolk, VA

$104K - $136K/yr

Converged Infrastructure Engineer Location: Norfolk, VA (100% On-Site) Clearance: Secret Program ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Centuria

Converged Infrastructure Engineer

Norfolk, VA · On-site

$104K - $136K/yr

Converged Infrastructure Engineer Location: Norfolk, VA (100% On-Site) Clearance: Secret Program ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

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Showing results 21-40

All JobsAi Infrastructure Engineer JobsInternship Ai Infrastructure Engineer JobsInternship Ai Infrastructure Engineer Jobs in Virginia

Internship Ai Infrastructure Engineer information

What does an internship AI infrastructure engineer do?

An Internship AI Infrastructure Engineer assists in designing, developing, and maintaining the foundational systems that support artificial intelligence (AI) applications. They work with cloud platforms, data pipelines, and scalable computing resources to ensure that AI models can be trained and deployed efficiently. Interns may help automate workflows, optimize performance, and collaborate with data scientists and software engineers. The role provides hands-on experience with the tools and frameworks commonly used in AI engineering environments.

What types of projects and responsibilities can an internship AI infrastructure engineer expect to work on?

As an AI Infrastructure Engineer intern, you can expect to be involved in projects that support the development, deployment, and scaling of AI models. Typical responsibilities may include optimizing data pipelines, maintaining and improving cloud or on-premise computing resources, and collaborating closely with data scientists to ensure efficient model training and inference. Interns often get hands-on experience with tools such as Docker, Kubernetes, and various cloud platforms, and work in cross-functional teams to troubleshoot and enhance AI workflows. This role provides a solid foundation in both software engineering and AI operations, preparing you for advanced positions in the field.

What are the key skills and qualifications needed to thrive as an internship AI infrastructure engineer, and why are they important?

To thrive as an Internship AI Infrastructure Engineer, you need a solid understanding of computer science fundamentals, programming (especially in Python or C++), and basic knowledge of machine learning frameworks, often supported by ongoing studies in a relevant field. Familiarity with cloud platforms (like AWS, GCP, or Azure), version control systems (such as Git), and containerization tools (Docker, Kubernetes) is typically expected. Strong problem-solving abilities, curiosity, teamwork, and effective communication help interns stand out and integrate quickly into engineering teams. These skills are crucial for supporting scalable AI solutions, collaborating on complex projects, and contributing meaningfully in a fast-evolving technical environment.

What is the difference between Internship Ai Infrastructure Engineer vs Data Engineer?

AspectInternship Ai Infrastructure EngineerData Engineer
Required CredentialsEnrolled in or recent graduate of Computer Science, Engineering, or related fields; some knowledge of AI and infrastructure toolsBachelor's or higher in Computer Science, Data Science, or related; experience with databases and data pipelines
Work EnvironmentInternship setting, collaborative teams, learning-focusedFull-time, technical teams managing data systems and pipelines
Employer & Industry UsageTech companies, AI startups, research labsTech firms, finance, healthcare, and other data-driven industries

The Internship Ai Infrastructure Engineer role focuses on supporting AI infrastructure projects during an internship, emphasizing learning and assisting with AI systems setup. In contrast, Data Engineers build and maintain data pipelines and infrastructure for data analysis. While both roles require knowledge of technical tools, the internship role is more entry-level and learning-oriented, whereas Data Engineers are more experienced and responsible for ongoing data management.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Virginia?

The most popular types of Ai Infrastructure Engineer jobs in Virginia are:

What are popular job titles related to Internship Ai Infrastructure Engineer jobs in Virginia?

For Internship Ai Infrastructure Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Internship Ai Infrastructure Engineer jobs in Virginia look for?

The top searched job categories for Internship Ai Infrastructure Engineer jobs in Virginia are:

What cities in Virginia are hiring for Internship Ai Infrastructure Engineer jobs?

Cities in Virginia with the most Internship Ai Infrastructure Engineer job openings:

Internship Ai Infrastructure Engineer jobs near you
Infographic showing various Internship Ai Infrastructure Engineer job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Azure/Databricks Infrastructure Engineer

Deloitte

Mclean, VA • On-site

$56.25 - $75.25/hr

Full-time

Re-posted 26 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services

Job description

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 09/01/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 09/01/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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